Most Popular Baby Names In Oregon
The 100 most-used girls' and boys' names among recorded births from Oregon, 2016–2025 — 295,477 applications in that window. Below them: the names Oregon uses far more than the rest of the country.
Girls’ names
- 1Olivia1,9111.4%
- 2Emma1,6391.2%
- 3Charlotte1,5151.1%
- 4Amelia1,4811.1%
- 5Evelyn1,4581.1%
- 6Sophia1,3751.0%
- 7Harper1,1600.9%
- 8Mia1,1010.8%
- 9Hazel1,0810.8%
- 10Isabella1,0650.8%
- 11Ava1,0400.8%
- 12Penelope1,0050.7%
- 13Abigail9830.7%
- 14Eleanor9800.7%
- 15Luna9080.7%
- 16Elizabeth8960.7%
- 17Violet8660.6%
- 18Aurora8510.6%
- 19Nora8050.6%
- 20Sofia7800.6%
- 21Emily7780.6%
- 22Avery7650.6%
- 23Juniper7540.6%
- 24Camila7510.6%
- 25Paisley7030.5%
- 26Scarlett7020.5%
- 27Lucy6980.5%
- 28Willow6900.5%
- 29Grace6800.5%
- 30Ruby6780.5%
- 31Aria6770.5%
- 32Isla6580.5%
- 33Ella6550.5%
- 34Lily6550.5%
- 35Chloe6490.5%
- 36Ellie6280.5%
- 37Mila6280.5%
- 38Riley6270.5%
- 39Stella6260.5%
- 40Maya5790.4%
- 41Alice5680.4%
- 42Lillian5660.4%
- 43Zoey5660.4%
- 44Josephine5550.4%
- 45Audrey5480.4%
- 46Hannah5450.4%
- 47Layla5360.4%
- 48Emilia5350.4%
- 49Madison5350.4%
- 50Naomi5350.4%
- 51Addison5340.4%
- 52Zoe5170.4%
- 53Natalie5100.4%
- 54Everly4820.4%
- 55Adeline4780.4%
- 56Claire4760.4%
- 57Nova4720.3%
- 58Eliana4710.3%
- 59Brooklyn4700.3%
- 60Cora4620.3%
- 61Elena4610.3%
- 62Kinsley4470.3%
- 63Delilah4440.3%
- 64Piper4440.3%
- 65Quinn4330.3%
- 66Victoria4320.3%
- 67Ivy4300.3%
- 68Iris4250.3%
- 69Clara4170.3%
- 70Athena4000.3%
- 71Eloise3960.3%
- 72Hadley3930.3%
- 73Sadie3870.3%
- 74Kennedy3850.3%
- 75Freya3810.3%
- 76June3800.3%
- 77Sophie3780.3%
- 78Ember3680.3%
- 79Vivian3670.3%
- 80Samantha3660.3%
- 81Leah3600.3%
- 82Madeline3590.3%
- 83Daisy3560.3%
- 84Gianna3540.3%
- 85Lydia3530.3%
- 86Charlie3520.3%
- 87Autumn3510.3%
- 88Aubrey3480.3%
- 89Anna3380.2%
- 90Aaliyah3340.2%
- 91Ayla3330.2%
- 92Jade3330.2%
- 93Olive3310.2%
- 94Emery3280.2%
- 95Lyla3210.2%
- 96Hailey3190.2%
- 97Peyton3170.2%
- 98Rylee3160.2%
- 99Rose3150.2%
- 100Madelyn3140.2%
Boys’ names
- 1Oliver2,2811.4%
- 2Liam1,9461.2%
- 3Henry1,8421.2%
- 4Noah1,6231.0%
- 5Benjamin1,5631.0%
- 6William1,5311.0%
- 7Theodore1,5150.9%
- 8James1,3400.8%
- 9Elijah1,3000.8%
- 10Lucas1,2910.8%
- 11Owen1,2390.8%
- 12Wyatt1,1860.7%
- 13Samuel1,1590.7%
- 14Ezra1,1540.7%
- 15Jack1,1420.7%
- 16Daniel1,1120.7%
- 17Mateo1,1070.7%
- 18Hudson1,0970.7%
- 19Jackson1,0910.7%
- 20Sebastian1,0560.7%
- 21Alexander1,0480.7%
- 22Mason1,0140.6%
- 23Logan9820.6%
- 24Levi9710.6%
- 25Julian9550.6%
- 26Isaac9010.6%
- 27Asher8980.6%
- 28Leo8940.6%
- 29Ethan8890.6%
- 30Miles8860.6%
- 31Lincoln8630.5%
- 32Carter8580.5%
- 33David8560.5%
- 34Grayson8500.5%
- 35Luke8370.5%
- 36Aiden8300.5%
- 37Michael8140.5%
- 38Wesley8090.5%
- 39Everett7770.5%
- 40Maverick7630.5%
- 41Elias7480.5%
- 42Jacob7250.5%
- 43Gabriel7230.5%
- 44Joseph7010.4%
- 45Thomas7000.4%
- 46Ezekiel6950.4%
- 47Silas6900.4%
- 48Hunter6880.4%
- 49Isaiah6870.4%
- 50Matthew6870.4%
- 51Jaxon6840.4%
- 52Rowan6710.4%
- 53Charles6540.4%
- 54Weston6500.4%
- 55Luca6470.4%
- 56Emmett6400.4%
- 57Santiago6400.4%
- 58John6380.4%
- 59Caleb6270.4%
- 60Cooper6270.4%
- 61Anthony5920.4%
- 62Colton5880.4%
- 63Sawyer5870.4%
- 64Ryder5760.4%
- 65Andrew5650.4%
- 66Roman5550.3%
- 67Bennett5530.3%
- 68Parker5430.3%
- 69Dylan5420.3%
- 70Jasper5400.3%
- 71Milo5380.3%
- 72Landon5280.3%
- 73Waylon5270.3%
- 74Easton5240.3%
- 75Josiah5210.3%
- 76Jayden5170.3%
- 77Adrian5160.3%
- 78Jameson5160.3%
- 79Calvin5150.3%
- 80Jonathan5130.3%
- 81Beau5070.3%
- 82Kai4960.3%
- 83Joshua4910.3%
- 84August4880.3%
- 85Declan4880.3%
- 86Carson4860.3%
- 87Eli4860.3%
- 88Nolan4860.3%
- 89Ryan4800.3%
- 90Damian4790.3%
- 91Nathan4790.3%
- 92River4780.3%
- 93Axel4760.3%
- 94Greyson4760.3%
- 95Connor4730.3%
- 96Christopher4680.3%
- 97Angel4640.3%
- 98Arlo4450.3%
- 99Cameron4400.3%
- 100Jose4350.3%
Oregon's signature names
Names used at least 2× as often in Oregon as across all states combined, 2016–2025. The multiple compares Oregon's share of listed births with the same share pooled across every state — the closest thing to "how Oregon does it differently" the data can support.
Girls’ names
- Sequoia15.8× · 56 recorded
- Fern10× · 82 recorded
- Ramona5.3× · 152 recorded
- Opal5× · 232 recorded
- Freyja4.5× · 121 recorded
- Juniper4.1× · 754 recorded
- Beatrix3.9× · 56 recorded
- Quincy3.8× · 64 recorded
- Clover3.6× · 95 recorded
- Luella3.4× · 80 recorded
- Clementine3× · 141 recorded
- Annika3× · 88 recorded
- Saoirse2.9× · 71 recorded
- Birdie2.8× · 63 recorded
- Maisy2.8× · 56 recorded
- Cordelia2.8× · 51 recorded
- Artemis2.8× · 50 recorded
- Lyra2.7× · 135 recorded
- Pearl2.7× · 98 recorded
- Milana2.7× · 86 recorded
- Simone2.7× · 75 recorded
- Persephone2.7× · 74 recorded
- Marigold2.7× · 58 recorded
- Florence2.6× · 104 recorded
- Scout2.6× · 65 recorded
Boys’ names
- Alder22.3× · 118 recorded
- Cedar11.8× · 112 recorded
- Ash4.6× · 52 recorded
- Forest4.4× · 109 recorded
- Westley4.1× · 125 recorded
- Lucien3.8× · 52 recorded
- Soren3.6× · 188 recorded
- Fox3.6× · 70 recorded
- Boaz3.6× · 56 recorded
- Alden3.2× · 128 recorded
- Otis3.2× · 111 recorded
- Kellen3.2× · 87 recorded
- Bjorn3.2× · 73 recorded
- Ira3.2× · 69 recorded
- Finnley3.1× · 124 recorded
- Leif3.1× · 59 recorded
- Caspian3× · 98 recorded
- Coen3× · 52 recorded
- Orion2.8× · 297 recorded
- Huxley2.7× · 104 recorded
- Anders2.7× · 63 recorded
- Remi2.7× · 63 recorded
- Boden2.6× · 57 recorded
- Leroy2.6× · 55 recorded
- Clyde2.5× · 78 recorded
All-time favorites, 1910–2025
The most-used names across everything Oregon has recorded since 1910 — a very different list, dominated by the high-birth, low-variety decades of the mid-century.
Girls’ names
- 1Mary19,8841.4%
- 2Jennifer15,9531.1%
- 3Linda14,1391.0%
- 4Elizabeth13,1360.9%
- 5Patricia12,3820.9%
- 6Sarah11,9000.8%
- 7Jessica11,7000.8%
- 8Susan11,6010.8%
- 9Barbara11,2210.8%
- 10Emily10,4100.7%
- 11Karen9,8290.7%
- 12Nancy9,0490.6%
- 13Michelle8,9440.6%
- 14Lisa8,8120.6%
- 15Ashley8,4140.6%
- 16Rebecca8,1770.6%
- 17Amanda8,1320.6%
- 18Carol8,0290.6%
- 19Kimberly8,0110.6%
- 20Sandra7,9720.6%
- 21Julie7,9580.6%
- 22Melissa7,6050.5%
- 23Sharon7,5040.5%
- 24Margaret7,4750.5%
- 25Amy7,4600.5%
- 26Emma7,3040.5%
- 27Angela7,2850.5%
- 28Donna7,2770.5%
- 29Kathleen7,2400.5%
- 30Stephanie7,2360.5%
- 31Laura7,0930.5%
- 32Heather6,9410.5%
- 33Betty6,7470.5%
- 34Olivia6,5230.5%
- 35Hannah6,3930.5%
- 36Dorothy6,3820.5%
- 37Samantha6,3320.4%
- 38Rachel6,2820.4%
- 39Nicole6,2500.4%
- 40Anna6,1990.4%
- 41Debra6,1630.4%
- 42Katherine6,1030.4%
- 43Megan6,0220.4%
- 44Janet5,9500.4%
- 45Teresa5,4010.4%
- 46Evelyn5,3800.4%
- 47Helen5,3090.4%
- 48Shirley5,2650.4%
- 49Cynthia5,1800.4%
- 50Pamela5,0330.4%
Boys’ names
- 1Michael40,5342.5%
- 2Robert38,8282.4%
- 3David37,5142.3%
- 4James35,6852.2%
- 5John33,4202.1%
- 6William27,6291.7%
- 7Richard23,1521.4%
- 8Daniel21,2091.3%
- 9Christopher18,9091.2%
- 10Matthew16,7731.0%
- 11Thomas16,3771.0%
- 12Joseph15,6031.0%
- 13Steven15,5361.0%
- 14Joshua14,8260.9%
- 15Donald14,2450.9%
- 16Charles14,2360.9%
- 17Andrew14,1810.9%
- 18Mark13,8930.9%
- 19Ryan13,2810.8%
- 20Jacob13,1820.8%
- 21Brian12,9610.8%
- 22Jason12,5790.8%
- 23Kenneth12,1610.7%
- 24Kevin11,4510.7%
- 25Gary11,3300.7%
- 26Timothy11,2690.7%
- 27Ronald11,0740.7%
- 28Benjamin10,8710.7%
- 29Scott10,7470.7%
- 30Jeffrey10,7030.7%
- 31Anthony10,1350.6%
- 32Paul9,8520.6%
- 33Nicholas9,6520.6%
- 34Jack9,3570.6%
- 35Eric9,2840.6%
- 36Justin9,2810.6%
- 37Tyler9,0830.6%
- 38Brandon8,8130.5%
- 39Samuel8,5990.5%
- 40Larry8,4770.5%
- 41Alexander8,4170.5%
- 42Jonathan8,3220.5%
- 43Aaron8,3130.5%
- 44George8,0990.5%
- 45Nathan7,8340.5%
- 46Douglas7,7370.5%
- 47Kyle7,3220.5%
- 48Patrick7,2230.4%
- 49Dennis7,0450.4%
- 50Stephen7,0290.4%
State data starts in 1910 (national data goes back to 1880) and is censored per state and year: a name needs 5 uses in Oregon in a year to appear at all. That censoring means state counts never sum to the national total, and it bites hardest on uncommon names in small states.
Counts are based on U.S. births and are tracked separately for girls and boys. Names used fewer than 5 times in a year aren’t published for that year, so totals here are a floor — the shortfall is largest in the sparse early years.